Suppr超能文献

体力活动支持可预测安全网患者的数字医疗保健参与度:对患者护理提供的影响。

Physical Activity Support Predicts Safety-Net Patients' Digital Health-Care Engagement: Implications for Patient Care Delivery.

机构信息

School of Nursing and Healthcare Leadership, University of Washington Tacoma, WA, USA.

Department of Health Services, School of Public Health, University of Washington, Seattle, WA, USA.

出版信息

Am J Health Promot. 2020 Mar;34(3):311-315. doi: 10.1177/0890117119894508. Epub 2019 Dec 20.

Abstract

PURPOSE

Assess relationship among health services received and patients' digital health-care engagement.

DESIGN

Quantitative cross-sectional survey study.

SETTING

Community health centers in Washington state and DC.

SAMPLE

N = 164 adult safety-net patients.

INTERVENTION

Not applicable.

MEASURES

Outcomes were knowledge and use of health apps. Predictors were health service access (access to specialists and health information); health service delivery (healthy eating and physical activity counsel); health service satisfaction; and perceived service value.

ANALYSIS

Descriptive and multivariate regression analyses. Odds ratios (OR) reported for 95% confidence interval (CI).

RESULTS

Response rate was 35%. Of all, 71% were knowledgeable of smartphone use for wellness and 48% used health apps. Physical activity (PA) counseling predicted knowledge and health apps use. Respondents receiving PA counseling were 2.61 times more likely to be knowledgeable about using smartphones for health promotion (OR = 2.61; = .047; 95% CI: 1.01-6.73). Respondents receiving PA counseling were 2.89 times more likely to use health apps (OR = 2.89; = .022; 95% CI: 1.17-7.17). Health information access predicted health apps use; respondents with easy access to general health information were 0.29 times as likely to use health apps (OR = 0.29; = .043; 95% CI: 0.09-0.96).

CONCLUSION

Targeted preventive care support encourages digital health-care engagement. mHealth may supplement health-care needs outside clinics.

摘要

目的

评估患者接受的卫生服务与数字卫生保健参与度之间的关系。

设计

定量横断面调查研究。

设置

华盛顿州和哥伦比亚特区的社区卫生中心。

样本

N = 164 名成年安全网患者。

干预措施

不适用。

测量指标

健康应用程序的知识和使用情况。预测因素为卫生服务可及性(获得专家和健康信息的机会)、卫生服务提供(健康饮食和身体活动咨询)、卫生服务满意度和感知服务价值。

分析

描述性和多变量回归分析。报告了 95%置信区间(CI)的比值比(OR)。

结果

回复率为 35%。所有人中,71%的人了解智能手机在健康促进方面的使用,48%的人使用健康应用程序。身体活动(PA)咨询可预测知识和健康应用程序的使用。接受 PA 咨询的受访者更有可能了解使用智能手机促进健康(OR = 2.61; =.047;95% CI:1.01-6.73)。接受 PA 咨询的受访者更有可能使用健康应用程序(OR = 2.89; =.022;95% CI:1.17-7.17)。获得健康信息的机会预测了健康应用程序的使用;容易获得一般健康信息的受访者使用健康应用程序的可能性低 0.29 倍(OR = 0.29; =.043;95% CI:0.09-0.96)。

结论

有针对性的预防保健支持鼓励数字卫生保健参与度。移动医疗可能会补充诊所外的医疗保健需求。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验